Insights

Android Binder IPC Implementation

POSTED ON
March 16, 2017

Google’s Android platform based on Linux uses its own custom IPC mechanism called Binder. Binder takes care of communication between various processes. This paper describes the Binder framework and gives some details of its implementation in C and C++. The paper is intended to be an overview of the Binder system; it will not deal with deep technical details of the Binder framework implementation.

An insight to Ford’s SmartDeviceLink: An open-source IVI solution

POSTED ON
February 6, 2017

This paper mainly talks about the technical aspects of SmartDeviceLink. It describes the basic software features that the Head unit of the Car has to support to integrate this open-source technology. It also talks about the mobile proxy components that provide a common, abstracted interface to the in-vehicle infotainment system for its integration to SmartDeviceLink-enabled mobile applications.

Automated Bleeding Detection in Wireless Capsule Endoscopy Videos

POSTED ON
January 12, 2017

WCE involves a small capsule capable of recording patient’s organs after being swallowed and has gained popularity in recent times because of its ability to potentially capture parts of the GI tract that were never before seen outside operative surgery.This paper provides an introduction to WCE and examines the need and the scope of image processing/computer vision algorithms in the automated analysis of WCE videos and also looks
at a few basic methods in practice.

Image Quality Benchmarking - Unravelled

POSTED ON
December 27, 2016

Get an insight on different types of image quality assessment methods and the importance assessing the quality of an image. This paper also covers the different image quality factors and the objective measurement of those metrics.

Android Binder Concepts

POSTED ON
December 2, 2016

Google’s Android OS based on Linux uses its own custom IPC mechanism called Binder. Binder takes care of communication between various processes. This paper describes the Binder framework and gives some details of its implementation in C and C++.

This paper gives an insight into the design considerations like functional partitioning and optimization techniques across accelerator cores of typical ADAS SoCs for porting RealTime ADAS applications, such as object detection algorithm. It also addresses design considerations for efficient usage of deep learning techniques such as Convolutional Neural Network (CNN) in an entry level ADAS video system such as Texas Instruments TDA3x ADAS SoC.

Driver monitoring solution on Altera Cyclone V SoC

POSTED ON
November 21, 2016

ADAS includes large number of applications like driver drowsiness detection, driver distraction detection, pedestrian detection, lane departure detection, collision detection and traffic sign recognition. The paper discusses Driver Monitoring Solution modules on Cyclone 5 SoC, a detailed implementation of each module and its coordination with the other modules.